Pub Date : 2024-04-17DOI: 10.1080/00031305.2024.2320949
Gabriel Wallin
Published in The American Statistician (Vol. 78, No. 2, 2024)
发表于《美国统计学家》（第 78 卷第 2 期，2024 年）
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Pub Date : 2024-04-17DOI: 10.1080/00031305.2024.2332766
Nickos D. Papadatos
Let X1,…,Xn be a random sample from the gamma distribution with density f(x)=λαxα−1e−λx/Γ(α), x > 0, where both α>0 (the shape parameter) and λ>0 (the reciprocal scale parameter) are unknown. The m...
{"title":"On Point Estimators for Gamma and Beta Distributions","authors":"Nickos D. Papadatos","doi":"10.1080/00031305.2024.2332766","DOIUrl":"https://doi.org/10.1080/00031305.2024.2332766","url":null,"abstract":"Let X1,…,Xn be a random sample from the gamma distribution with density f(x)=λαxα−1e−λx/Γ(α), x > 0, where both α>0 (the shape parameter) and λ>0 (the reciprocal scale parameter) are unknown. The m...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"30 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140607773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1080/00031305.2024.2325704
Juan Sosa
Published in The American Statistician (Ahead of Print, 2024)
发表于《美国统计学家》（2024 年提前出版）
{"title":"Statistical Theory: A Concise Introduction, 2nd ed.","authors":"Juan Sosa","doi":"10.1080/00031305.2024.2325704","DOIUrl":"https://doi.org/10.1080/00031305.2024.2325704","url":null,"abstract":"Published in The American Statistician (Ahead of Print, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"39 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1080/00031305.2024.2320219
Yang Ni
Published in The American Statistician (Vol. 78, No. 2, 2024)
发表于《美国统计学家》（第 78 卷第 2 期，2024 年）
{"title":"Deep Learning and Scientific Computing with R torch","authors":"Yang Ni","doi":"10.1080/00031305.2024.2320219","DOIUrl":"https://doi.org/10.1080/00031305.2024.2320219","url":null,"abstract":"Published in The American Statistician (Vol. 78, No. 2, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"10 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140607766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1080/00031305.2024.2326662
Nianpin Cheng, Beth Chance
Published in The American Statistician (Ahead of Print, 2024)
发表于《美国统计学家》（2024 年提前出版）
{"title":"Introduction to Statistical Modelling and Inference","authors":"Nianpin Cheng, Beth Chance","doi":"10.1080/00031305.2024.2326662","DOIUrl":"https://doi.org/10.1080/00031305.2024.2326662","url":null,"abstract":"Published in The American Statistician (Ahead of Print, 2024)","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"48 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1080/00031305.2024.2339266
Adeline P. Guthrie, Christopher T. Franck
Probability predictions are essential to inform decision making across many fields. Ideally, probability predictions are (i) well calibrated, (ii) accurate, and (iii) bold, i.e., spread out enough ...
{"title":"Boldness-Recalibration for Binary Event Predictions","authors":"Adeline P. Guthrie, Christopher T. Franck","doi":"10.1080/00031305.2024.2339266","DOIUrl":"https://doi.org/10.1080/00031305.2024.2339266","url":null,"abstract":"Probability predictions are essential to inform decision making across many fields. Ideally, probability predictions are (i) well calibrated, (ii) accurate, and (iii) bold, i.e., spread out enough ...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"46 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-26DOI: 10.1080/00031305.2024.2333864
Robert Calvert Jump
In this paper, I propose a tractable approach to Bayesian inference in a simple linear regression model for which the standard exogeneity assumption does not hold. By specifying a beta prior for th...
{"title":"Tractable Bayesian inference for an unidentified simple linear regression model","authors":"Robert Calvert Jump","doi":"10.1080/00031305.2024.2333864","DOIUrl":"https://doi.org/10.1080/00031305.2024.2333864","url":null,"abstract":"In this paper, I propose a tractable approach to Bayesian inference in a simple linear regression model for which the standard exogeneity assumption does not hold. By specifying a beta prior for th...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"13 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-18DOI: 10.1080/00031305.2024.2332764
Joseph F. Lucke
I present the moments of the nonnegative adjusted estimator of the squared multiple correlation ρ2, the coefficient of determination for random-predictor regression. This estimator, first proposed...
{"title":"Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation","authors":"Joseph F. Lucke","doi":"10.1080/00031305.2024.2332764","DOIUrl":"https://doi.org/10.1080/00031305.2024.2332764","url":null,"abstract":"I present the moments of the nonnegative adjusted estimator of the squared multiple correlation ρ2, the coefficient of determination for random-predictor regression. This estimator, first proposed...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"8 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140192675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-11DOI: 10.1080/00031305.2024.2329681
Yifan Yang, Chixiang Chen, Shuo Chen
Estimating a covariance matrix is central to high-dimensional data analysis. Empirical analyses of high-dimensional biomedical data, including genomics, proteomics, microbiome, and neuroimaging, am...
{"title":"Covariance Matrix Estimation for High-Throughput Biomedical Data with Interconnected Communities","authors":"Yifan Yang, Chixiang Chen, Shuo Chen","doi":"10.1080/00031305.2024.2329681","DOIUrl":"https://doi.org/10.1080/00031305.2024.2329681","url":null,"abstract":"Estimating a covariance matrix is central to high-dimensional data analysis. Empirical analyses of high-dimensional biomedical data, including genomics, proteomics, microbiome, and neuroimaging, am...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"20 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140114429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-11DOI: 10.1080/00031305.2024.2327535
Minh Nguyen, Tiffany Eulalio, Ben Marafino, Christian Rose, Jonathan H. Chen, Michael Baiocchi
A gap remains between developing risk prediction models and deploying models to support real-world decision making, especially in high-stakes situations. Human-experts’ reasoning abilities remain c...
{"title":"Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement","authors":"Minh Nguyen, Tiffany Eulalio, Ben Marafino, Christian Rose, Jonathan H. Chen, Michael Baiocchi","doi":"10.1080/00031305.2024.2327535","DOIUrl":"https://doi.org/10.1080/00031305.2024.2327535","url":null,"abstract":"A gap remains between developing risk prediction models and deploying models to support real-world decision making, especially in high-stakes situations. Human-experts’ reasoning abilities remain c...","PeriodicalId":50801,"journal":{"name":"American Statistician","volume":"21 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140188718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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